Product Manager; Data

ABOUT THE ROLE

KEY RESPONSIBILITIES

• - Own the data platform — the cloud infrastructure, distributed compute, pipeline orchestration and delivery mechanisms for our core data products and open science mission
• - Gather and prioritize requirements from the teams that depend on the platform
• - Translate new platform needs into clear technical specs that engineering teams can build from
• - Partner with engineering teams, other PMs, and external contractors to execute and deliver new functionality
• - Drive documentation and developer experience
• - Define and track success metrics to measure adoption, reliability, delivery time, cost and other key indicators
• - Comply with Vibrant Planet’s Information Security Policy and the full security responsibilities detailed in the Employee Handbook, including complete required security training, safeguard customer and company data, keep credentials secure, and report suspected security incidents or policy violations through established channels.
• - Ensure direct reports complete required security training, communicate security policy requirements to new team members, and escalate security concerns through proper channels.
• -Follow secure development practices, adhere to established change management processes for production systems, protect the confidentiality and integrity of customer data, and promptly address security vulnerabilities in your area of responsibility.

REQUIRED QUALIFICATIONS

• - Degree or equivalent experience in computer science, engineering, data science, machine learning, geospatial science, or related quantitative discipline
• - 3+ years in technical product, platform, or data-engineering roles
• - Demonstrated ability to coordinate multiple engineering teams to execute production-grade delivery
• - Experience working with cloud-native geospatial data at continental to global scales
• - Experience shaping external-facing or data-as-a-service APIs
• - Hands-on understanding of cloud infrastructure, distributed compute, and workflow orchestration
• - Strong technical writing — turns direction into specs engineers build from
• - Comfort working in a fully remote, fast-paced startup environment

PREFERRED QUALIFICATIONS

• - Background in machine learning and MLOps with experience building production infrastructure for training and inference
• - Experience with agentic AI, or designing data and APIs for AI-agent access and use
• - Background in wildfire, forestry, or climate science

Salary Range

• $140,000 – $150,000
• Health, dental, and vision insurance
• 401(k) plan
• Unlimited PTO policy
• Company equity
• Cell phone stipend (per pay period)
• Home office setup allowance (one-time)

EQUAL OPPORTUNITY EMPLOYER